Research on Fuel Economy of Hybrid Electric Vehicles

On the road, fuel meter and electric power meter were employed to measure fuel consumption and electricity consumption of two parallel hybrid electric vehicles (PHEVs); Corrected methods recommended by SAE J2711 and GB/T 19754 respectively were used to modify fuel consumption of two vehicles through electricity consumption; According to the result, how total quality and Air-Condition (AC) load affect fuel economy were analyzed. Test results showed that, When K was less than 1%, relative error from calculation results of fuel consumption per 100 km obtained by above two methods was within 0.7%; Compared with AC off condition, fuel consumption per 100 km of PHEVs under AC on condition increased by more than 42%, which caused bad fuel economy, the effect of fuel-saving was decreased by 10% or more accordingly.

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Optimal Charging Scheduling of Solar Plugin Hybrid Electric Vehicles Considering On-the-Road Solar Energy Harvesting

2020 10th Smart Grid Conference (SGC) ◽

10.1109/sgc52076.2020.9335773 ◽

2020 ◽

Author(s):

Alireza Aliakbari ◽

Vahid Vahidinasab

Keyword(s):

Energy Harvesting ◽

Solar Energy ◽

Electric Vehicles ◽

Hybrid Electric Vehicles ◽

The Road ◽

Solar Energy Harvesting ◽

Hybrid Electric ◽

On The Road

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Monetary Health Co-benefits and GHG Emissions Reduction Benefits: Contribution from Private on-the-road Transport

10.20944/preprints202104.0492.v1 ◽

2021 ◽

Author(s):

Je-Liang Liou ◽

Pei-Ing Wu

Keyword(s):

Air Pollution ◽

Electric Vehicles ◽

Hybrid Electric Vehicles ◽

Ghg Emissions ◽

Road Transport ◽

Pollution Reduction ◽

Emissions Reduction ◽

The Road ◽

Hybrid Electric ◽

On The Road

This is the first study to provide a systematic monetary benefit matrix, including greenhouse gas (GHG) emissions reduction benefits and air pollution reduction health co-benefits, for a change in on-the-road transport to low-carbon types. The benefit transfer method is employed to estimate the social cost of carbon and the health co-benefits via impact pathway analysis in Taiwan. Specifically, the total emissions reduction benefits from changing all internal combustion vehicles to either hybrid electric vehicles, plug-in hybrid electric vehicles, or electric vehicles would generate an average of US$760 million from GHG emissions reduction and US$2,091 million from health co-benefits based on air pollution reduction, for a total benefit of US$2,851 million annually. For a change from combustion scooters to light- or heavy-duty electric scooters, the average GHG emissions reduction benefits would be US$96.02 million, and the health co-benefits from air pollution reduction would be US$1,008.83 million, for total benefits of US$1,104.85 million annually.

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Modeling and Control of Hybrid Electric Vehicles for Fuel and Emission Reduction

ASME 2008 Dynamic Systems and Control Conference, Parts A and B ◽

10.1115/dscc2008-2179 ◽

2008 ◽

Cited By ~ 5

Author(s):

Dongsuk Kum ◽

Huei Peng ◽

Norman Bucknor

Keyword(s):

Optimal Control ◽

Optimal Control Problem ◽

Control Problem ◽

Fuel Consumption ◽

Electric Vehicles ◽

Fuel Economy ◽

Emission Reduction ◽

Hybrid Electric Vehicles ◽

Tail Pipe ◽

Hybrid Electric

Control of Hybrid Electric Vehicles (HEVs) is an active research area. Much of the past research focused on one aspect of hybrid vehicle performance–fuel economy. While fuel economy is important for HEVs, reduction of emissions is another major performance of interest, due to ever-tightening emission regulations. Minimization of fuel consumption may have a trickle-down effect but does not guarantee reduced emissions. In fact, over-zealous pursuit of fuel consumption reduction may compromise emission. This paper investigates the emissions formation mechanism, develops an emission model that predicts tail-pipe emissions, and formulates a supervisory control problem of emissions reduction. The Dynamic Programming (DP) technique is employed to solve the optimal control problem of parallel HEVs for both emission reduction and fuel economy. The DP solution of the optimal control problem shows that tail-pipe emissions could be significantly reduced with negligible loss of fuel economy.

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